The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

Robo-advice uses big and open data to provide consumers with fully informed and rational-
expectation benchmarks in all realms of household finance, including consumption, saving …

We provide one of the first systematic assessments of the development and determinants of
economic anxiety at the onset of the coronavirus pandemic. Using a global data set on …

Life-cycle portfolio choice models capture the role of human capital, housing, borrowing
constraints, background risk, and several other crucial ingredients for determining the …

Employing representative data from the US Survey of Consumer Payment Choice, we find
no evidence that cryptocurrency investors are motivated by distrust in fiat currencies or …

This paper investigates the impact of the COVID-19 pandemic on household investment
decisions using a novel survey conducted by the Survey and Research Center for China …

Socioeconomic differences in behaviour are pervasive and well documented, but their
causes are not yet well understood. Here, we make the case that a cluster of behaviours is …

Household financial decisions are complex, interdependent, and heterogeneous, and
central to the functioning of the financial system. We present an overview of the rapidly …

Embedded and mobile smart devices face problems related to limited computing power and
excessive power consumption. To address these problems, we propose Mixed YOLOv3 …

A number of studies have provided evidence that formative experiences stemming from
large shocks (eg, financial crises, natural disasters, violence and trauma) may have long …